Machine Learning Engineer (Fully Remote)
IG Group
Kraków, Poland
5 d. temu

Job Description

Join the game-changers

Leading IG to become a data-driven company, data science is the bridge between technology and business leaders, providing actionable insights to support strategic decisions and empowering people to deliver recognizable impact to the enterprise.

We are building a world-class team of data scientists, known by all areas of IG for delivering and aiding others to deliver value, and recognized externally for our innovation and people development.

Who we are

We’ve been at the forefront of trading innovation since 1974, taking on the challenge to deliver an unmatched experience for our clients and raise the bar for tomorrow’s opportunities.

Today, we’re a global fintech company incorporating the IG, tastytrade, IG Prime, Spectrum and DailyFX brands, with a presence in 20 countries across five continents and over 400 000 active clients worldwide .

But we know our success is only possible because of our people, who we encourage and empower to be brave, determined and inventive.

Join us if you’d like to work in an inclusive, collaborative team that will recognise your talent and allow it to shine.

Where you’ll work

Based on your choice, you can work from home or office.

At the office, you’ll have access to everything you’d expect from a world-class employer, such as a modern working environment, agile spaces, private quiet rooms and breakout areas.

Plus, all our offices are located in iconic city centres, close to everything you might need for a rewarding working experience.

How you’ll grow

Your personal and professional development are important to us.

As a company that’s constantly redefining the boundaries of possibility, we’ll challenge you to push yourself, accelerate your ambitions and rise to new levels of excellence.

We know that’s a big ask, so we’ll make sure that you’re supported all the way, getting the backing you need and the recognition you deserve.

If you connect with our vision and can get behind it, you’ll be rewarded with countless opportunities to experience new things and enhance your abilities

This role is a mid-level member of the team, therefore, there are lots of opportunities to develop technically through dedicated study time and personal development activities.

The role provides exposure to a range of problems, thus the ability to gain breadth of experience as well. The role holder is expected to progress to a senior machine learning engineer with time.

Competitive salary

Private medical cover for you and your family ( Medicover

Multikafeteria system (you can choose multisport card, vouchers etc.)

Life insurance (Generali)

Comprehensive global and local onboarding process to the company and to your role

Employee-led LGBTQ+, Women’s, Black and Parents & Carers networks with annual budget for organizing events & projects that foster an open , diverse and inclusive culture

Option to participate and create ESG initiatives based on IG Brighter Future Fund

2 additional days off a year for voluntary work

1 additional day off to celebrate your Birthday


Work from home or office (based on your choice)

Home office equipment reimbursement

Flexible working hours

Online s tretching sessions

Online wellbeing weeks

Online social events

Depending on pandemic situation summer parties

In the office

Come to work in a comfortable, state of the art office containing all the things you need to succeed. Each of us works from laptops, at agile, ergonomic workstations designed to support our roles.

Our spacious, open-plan offices provide a modern, dynamic setting for you to excel. On top of current benefits employees may e njoy here :

Free fresh fruit s and coffee club

App based p arking spots booking system

Bike parking and shower

Games : Foosball and ping-pong table , co nsoles and board games

Annual parties - summer picnic and Christmas Party

Who you are

You have a working knowledge of the latest frameworks and tools for machine learning :

1) You are able to influence the team's choices of tooling by presenting the pros and cons of different options available

2) Being responsible for the selection of adequate DSML (data science and machine learning) platforms and tooling

You have knowledge of how various models work and which situations they can be deployed in the knowledge of machine learning models acquired through MOOCs or work experience

You are able to optimize models built by data scientists

You can build adequate systems to measure the performance of machine learning models in the production

1) Applying best practice for system reliability and model governance, including security, versioning and monitoring

2) Measuring production machine learning performance such as model accuracy and business value

3) Building reliable pipelines for a wide range of scale and variety of data to connect models to real data

4) Influencing algorithm choice and design with regards to ease of propositioning and business goals

You are a highly numerate software engineer with experience writing production machine learning applications

You are able to write clean, testable Python code. Any experience with Java or Scala is a bonus

You have working experience with big-data technology stack, Hadoop, Spark, AWS / GCP

Good SQL skills

Strong attention to detail


Essential Degree level education in numerate discipline (computer science, engineering, physics, maths)

Desirable Higher level degree (MSc / PhD) in a numerate discipline

Bonus points for

Building applications on AWS or GCP

Spark, Hadoop

Building real time data processing applications

You’re upbeat and enthusiastic, and you have an open mind and a curious, can-do attitude.

You, like us, understand the importance of collaboration and are driven to be the best in what you do. You embody our three core values to champion the client, learn fast together and raise the bar.

You want to be part of a proudly carbon-neutral company that will prioritise your wellbeing and that of the world around you, helping to create a brighter future for all.

A company that embraces diversity and welcomes everyone with respect, regardless of race, age, sexual orientation, gender, identification, faith or culture.

If you’re inspired by our way of working and can bring something new to our team of top-notch people, then you’ll find a home here.

Number of openings

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